Search Results for "x-mind"
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Showing 619 open source projects for "x-mind"
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$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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PolarDB-X
PolarDB-X is a cloud native distributed SQL Database
PolarDB-X is a cloud-native distributed SQL database designed to handle high concurrency, massive storage, and complex querying scenarios. It features a shared-nothing architecture that decouples computing from storage, providing scalability and flexibility for various applications. -
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sqlite3
Asynchronous, non-blocking SQLite3 bindings for Node.js
Straightforward query and parameter binding interface. Full Buffer/Blob support. Extensive debugging support. Query serialization API. Extension support, including bundled support for the json1 extension. Big test suite, written in modern C++ and tested for memory leaks. Bundles SQLite3 3.32.3 as a fallback if the installing system doesn't include SQLite. The module uses node-pre-gyp to download a pre-compiled binary for your platform, if it exists. Otherwise, it uses node-gyp to build the... -
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Azure Data Studio
A data management tool that enables working with other SQL tools
...Azure Data Studio offers a modern editor experience with IntelliSense, code snippets, source control integration, and an integrated terminal. It's engineered with the data platform user in mind, with the built-in charting of query result sets and customizable dashboards. Use Azure Data Studio to query, design, and manage your databases and data warehouses wherever they are, on your local computer or in the cloud. Azure Data Studio offers a modern, keyboard-focused SQL coding experience that makes your everyday tasks easier with built-in features, such as multiple tab windows, a rich SQL editor, IntelliSense, keyword completion, code snippets, code navigation, and source control integration (Git). -
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SQLite JDBC Driver
SQLite JDBC Driver
SQLite JDBC is a library for accessing and creating SQLite database files in Java. Our SQLiteJDBC library requires no configuration since native libraries for major OSs, including Windows, Mac OS X, Linux etc., are assembled into a single JAR (Java Archive) file. The usage is quite simple; download our sqlite-jdbc library, then append the library (JAR file) to your classpath. SQLite JDBC is a library for accessing SQLite databases through the JDBC API. SQLite supports on-memory database management, which does not create any database files. ... -
Save Up to 91% on Cloud Compute With Spot VMsRun batch jobs at 60-91% off with Spot VMs. Long-running workloads get automatic discounts with sustained use.
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goqu
SQL builder and query library for golang
...Query builder, parameter interpolation (e.g SELECT * FROM "items" WHERE "id" = ? -> SELECT * FROM "items" WHERE "id" = 1). Built from the ground up with multiple dialects in mind. Insert, multi insert, update, and delete support. Scanning of rows to struct[s] or primitive value[s]. While goqu may support the scanning of rows into structs it is not intended to be used as an ORM if you are looking for common ORM features like associations, or hooks I would recommend looking at some of the great ORM libraries. ... -
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db
Data access layer for PostgreSQL, CockroachDB, MySQL, SQLite, etc.
...If you feel like writing tons of simple SELECT * statements by hand is not the best use of your time, then upper/db is the library for you. We've designed the API with productivity and readability in mind. -
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ArcticDB
ArcticDB is a high performance, serverless DataFrame database
Built for the modern Python Data Science ecosystem, ArcticDB transforms your ability to handle complex real-world data with an Incredibly fast proven Petabyte scale. ArcticDB is designed with quant users in mind. It allows you to self-manage your data leveraging your preferred infrastructure. Giving you the keys to protect your most valuable asset. Supports large concurrent writes to many tables ensuring datasets can be onboarded fast and in the most convenient format. Scale-out architecture and built-in compression ensure that networks and storage are utilized efficiently. ... -
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PgDog
PostgreSQL connection pooler, load balancer and database sharder
...It acts as an intelligent intermediary between applications and database servers, enabling load balancing, query routing, and connection pooling in distributed environments. The project is designed with performance and observability in mind, helping teams manage high-traffic database workloads more efficiently. Its architecture supports modern infrastructure patterns, making it suitable for cloud-native and microservices deployments. pgDog also emphasizes operational simplicity, providing configuration mechanisms that allow teams to adjust routing behavior without deep changes to application code. ... -
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SQLiteStudio
A free, open source, multi-platform SQLite database manager
A free, open-source, multi-platform SQLite database manager written in C++, with use of Qt framework. It's free of charge for everybody, for any purpose (including commercial). It's safe, as anyone can review the source code. The SQL Editor window assists users with SQL syntax hints & highlighting, provides pretty-print code formatter, and marks syntax errors. You can Ctrl+click on the table mentioned in the SQL query to open that table (or index, or trigger, or view). Currently supported... -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Jest Preview
Debug your Jest tests. Effortlessly
Jest Preview has a mission. To make front-end developers' life easier. It's built with the mindset of Developer Experience first in mind. Write tests in Jest and see the changes reflects in browser in a few milliseconds. You can use Jest Preview with any testing libraries and frontend frameworks. Don't waste time guessing what is your UI looks like. Let's Jest Preview visualize it in a browser for you! When writing tests using Jest, we usually debug by reading the HTML code. -
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Procrastinate
PostgreSQL-based Task Queue for Python
...It allows you to schedule and execute background jobs using your existing database infrastructure, avoiding the need for additional queueing systems like Redis. Procrastinate is designed with simplicity, reliability, and observability in mind. -
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Maybe
The personal finance app for everyone
Maybe is an open-source personal finance and wealth management application designed to help users manage their finances effectively. Originally developed as a comprehensive platform, it included features like connecting with certified financial advisors. Although the commercial venture was discontinued, the source code remains available for the community to explore and build upon. -
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Mathesar
An intuitive spreadsheet-like interface
...It offers an intuitive spreadsheet-like interface on top of PostgreSQL, allowing users to create, edit, and analyze structured data without writing SQL. Built with user experience in mind, Mathesar empowers teams to collaborate on data-driven workflows while retaining the power of a real relational database. -
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OpenViking
Context database designed specifically for AI Agents
...It’s primarily designed to serve as a high-performance, scalable backend for storing app context, embeddings, conversational histories, and other textual artifacts that need rapid lookup and semantic search, which makes it especially useful for systems like chatbots or memory-augmented agents. The project is implemented with performance in mind, often leveraging optimized data structures that balance fast reads and writes with minimal resource consumption. Developers can integrate OpenViking into modern AI stacks to unify context storage across services, enabling consistent session history, personalized responses, and richer search experiences. -
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Genji
Document-oriented, embedded SQL database
...Create tables with strict schemas, partial schemas, or no schemas at all to control your data the way you want it. Fully serializable transactions, in-memory mode, memory usage control, and more. Genji was designed for simplicity in mind. It is really easy to insert and read documents of any shape. Genji mixes the best of both worlds by combining powerful SQL commands with JSON. Genji tables are schemaless, but it is possible to add constraints on any field to ensure the coherence of data within a table. -
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Realm
Mobile database: a replacement for Core Data & SQLite
...Realm’s local database persists data on-disk, so apps work as well offline as they do online. Realm is fully-featured, lightweight, and efficiently uses memory, disk space, and battery life. Realm was built for mobile developers, with simplicity in mind. The idiomatic, object-oriented data model can save you thousands of lines of code. Realm’s live objects mean data updated anywhere is automatically updated everywhere. If you need to freeze elements of your data for Reactive frameworks, you can do that, too. -
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Npgsql
Npgsql is the .NET data provider for PostgreSQL
...An Entity Framework Core provider is also available and exposes some features unique to the PostgreSQL database to EF Core users. Finally, a legacy Entity Framework 6.x (non-Core) provider is also available but is no longer being actively maintained. Npgsql is the open source .NET data provider for PostgreSQL. It allows you to connect and interact with PostgreSQL server using .NET. -
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realm by MongoDB
Realm is a mobile database, an alternative to SQLite key-value stores
...Realm’s local database persists data on-disk, so apps work as well offline as they do online. Realm is fully-featured, lightweight, and efficiently uses memory, disk space, and battery life. Realm was built for mobile developers, with simplicity in mind. The idiomatic, object-oriented data model can save you thousands of lines of code. Realm’s live objects mean data updated anywhere is automatically updated everywhere. If you need to freeze elements of your data for Reactive frameworks, you can do that, too. -
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Apache HBase
Get random, realtime read/write access to your Big Data
Use Apache HBase™ when you need random, realtime read/write access to your Big Data. This project's goal is the hosting of very large tables, billions of rows X millions of columns, atop clusters of commodity hardware. Apache HBase is an open-source, distributed, versioned, non-relational database modeled after Google's Bigtable. A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, Apache HBase provides Bigtable-like capabilities on top of Hadoop and HDFS. ... -
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CloudNativePG
CloudNativePG is a Kubernetes operator that covers the full lifecycle
...The goal of CloudNativePG is to increase the adoption of PostgreSQL, one of the most loved DBMS in traditional VM and bare metal environments, inside Kubernetes, thus making the database an integral part of the development process and GitOps CI/CD automated pipelines. CloudNativePG has been designed by Postgres experts with Kubernetes administrators in mind. Put simply, it leverages Kubernetes by extending its controller and by defining, in a programmatic way, all the actions that a good DBA would normally do when managing a highly available PostgreSQL database cluster. Built on proven DevOps concepts like immutable infrastructure, declarative configuration, and microservice architecture, CloudNativePG exclusively relies on the Kubernetes API server to maintain the state of a PostgreSQL cluster. -
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CodeChecker
CodeChecker is an analyzer tooling, defect database
CodeChecker is a static analysis infrastructure built on the LLVM/Clang Static Analyzer toolchain, replacing scan-build in a Linux or macOS (OS X) development environment. Executes Clang-Tidy and Clang Static Analyzer with Cross-Translation Unit analysis, Statistical Analysis (when checkers are available). Creates the JSON compilation database by wiretapping any build process (e.g., CodeChecker log -b "make"). Automatically analyzes GCC cross-compiled projects: detecting GCC or Clang compiler configuration and forming the corresponding clang analyzer invocations. ... -
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doobie
Functional JDBC layer for Scala
...Note that doobie is pre-1.0 software and is still undergoing active development. New versions are not binary compatible with prior versions, although in most cases user code will be source compatible. Starting with the 0.5.x we’re trying to be a bit more careful about versioning. If you want to build and run the tests for yourself, you’ll need a local postgresql database. -
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Jedis
A small redis java client
Jedis is a blazingly small and sane Redis java client. Jedis was conceived to be EASY to use. Jedis is fully compatible with redis 2.8.x, 3.x.x and above. The features supported are sorting, connection handling, commands operating on any kind of values, commands operating on string values, commands operating on hashes, commands operating on lists, commands operating on sets, commands operating on sorted sets, commands operating on streams, transactions, pipelining, publish/subscribe, persistence control commands, remote server control commands, connection pooling, sharding (MD5, MurmurHash), key-tags for sharding, sharding with pipelining, scripting with pipelining, and Redis Cluster. ... -
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Oruga UI
Oruga is a lightweight library of UI components without CSS framework
Oruga is a lightweight library of UI components without CSS framework dependency. CSS framework agnostic: No dependency on a specific CSS framework/library but you can easily integrate the components with one of them because they are fully customizable in different ways. Components with steroids: most of the components aren't a simple wrapper of native elements but they add new and custom features. Lightweight: no other internal dependency and import only components that you need. Oruga... -
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ShardingSphere
Distributed database ecosphere
...As the cornerstone of enterprises, relational database still takes a huge market share. Therefore, we prefer to focus on its increment instead of a total overturn. Apache ShardingSphere begin to focus on pluggable architecture from version 5.x, features can be embedded into project flexibility.
